IFS Applications vs. Oracle Autonomous Data Warehouse

Order to cash processes and scenario are implemented natively in IFS. An HR module exists for career management also (objectives, comportments, training, mobility) but may be improved in terms of workflow validation (e.g. training to validate by a manager) or reporting.

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II would recommend Oracle Autonomous Data Warehouse to someone looking to fully automate the transferring of data especially in a warehouse scenario though I can see the elasticity of the suite that is offered and can see it is applicable in other scenarios not just warehouses.

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• It supports the web version in most later versions.
• It provides various mobile versions of the applications as mobile apps to cater various areas.
• IFS Applications allows easy configurations of the application without going for costly customization.
• It covers almost every areas of an industrial company so any other third party applications are minimum.
• It allows safer and easier built-in options for integrations capabilities.

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• Very easy and fast to load data into the Oracle Autonomous Data Warehouse
• Exceptionally fast retrieval of data joining 100 million row table with a billion row table plus the size of the database was reduced by a factor of 10 due to how Oracle store[s] and organise[s] data and indexes.
• Flexibility with scaling up and down CPU on the fly when needed, and just stop it when not needed so you don't get charged when it is not running.
• It is always patched and always available and you can add storage dynamically as you need it.

• Handling massive volumes of data can be improved.

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• It is very expensive product. But not to mention, there's good reasons why it is expensive.
• The product should support more cloud based services. When we made the decision to buy the product (which was 20 years ago,) there was no such thing to consider, but moving to a cloud based data warehouse may promise more scalability, agility, and cost reduction. The new version of Data Warehouse came out on the way, but it looks a bit behind compared to other competitors.
• Our healthcare data consists of 30% coded data (such as ICD 10 / SNOMED C,T) but the rests is narrative (such as clinical notes.). Oracle is the best for warehousing standardized data, but not a good choice when considering unstructured data, or a mix of the two.

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Because

• It is really simple to provision and configure.
• Does not require continous attention from the DBA, autonomous features allows the database to perform most of the regular admin tasks without need for human intervention.
• Allows to integrate multiple data sources on a central data warehouse, and explode the information stored with different analytic and reporting tools.

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The system is very difficult to use, overly complex, and difficult to learn. It also has limitations that are hard to overcome.

We have been unable to get answers to our questions, solutions to our problems, and they don't seem interested in working in the construction industry.

Understanding Oracle Cloud Infrastructure is really simple, and Autonomous databases are even more. Using shared or dedicated infrastructure is one of the few things you need to consider at the moment of starting provisioning your Oracle Autonomous Data Warehouse.

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IFS Applications is based on Agile Technology which allows organizations to reconfigure user interface as per user requirements and make it user-friendly. Other applications are lagging on many fronts like User Interface, Online help document availability, Implementation methodology, and post-implementation expenses.

As I mentioned, I have also worked with Amazon Redshift, but it is not as versatile as Oracle Autonomous Data Warehouse and does not provide a large variety of products. Oracle Autonomous Data Warehouse is also more reliable than Amazon Redshift, hence why I have chosen it

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• Reporting is now centralized and managed. Previously, reports were outside the information systems and there was a risk of incoherence.
• Accounting controls are now in place on the overall processes, including production, which helped the company to reduce closing periods or to produce more easily official mandatory accounting files yearly.
• Interfaces between the CRM forecast tool and IFS helped to keep the tools in sync, and to decrease the processing times prior to production launch.

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• Overall the business objective of all of our clients have been met positively with Oracle Data Warehouse. All of the required analysis the users were able to successfully carry out using the warehouse data.
• Using a 3-tier architecture with the Oracle Data Warehouse at the back end the mid-tier has been integrated well. This is big plus in providing the necessary tools for end users of the data warehouse to carry out their analysis.
• All of the various BI products (OBIEE, Cognos, etc.) are able to use and exploit the various analytic built-in functionalities of the Oracle Data Warehouse.

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